Variables in TensorFlow

In this tutorial I will teach you to create and use Variables in TensorFlow.

In this tutorial I will teach you to create and use Variables in TensorFlow.

Variables in TensorFlow - Defining and using variables in TensorFlow

In this section we will learn how to create and use variables in TensorFlow.
TensorFlow programming language is supports python programming and we are using
python for writing TensorFlow program.

In python we can create variables in different ways and use in the python
program. But the problem here is that we can't use the python variables in
TensorFlow, we have to convert the python variables to TensorFlow variables and
then use.

For example if you have a numpy variable:

data = np.random.randint(100, size=100)

Then you can use the following function to convert into Tensor (Tensor is the
TensorFlow variable). In TensorFlow Tensor is the single or multidimensional
data.

In the following program we are converting numpy data to a TensorFlow Tensor:

Now we will show you the placeholder example in TensorFlow. The placeholder
is used to pass the values in runtime to the Tensors. You can use the method
tf.placeholder() to define a place holder. Here is the full example code to
multiply two tensors: